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1st Virtual GESIS Methods Seminar 2020

Chapter: Introduction to Social Network Science with Python

Instructors:

Dr. Haiko Lietz [website] [github]

MSc. Olga Zagovora [website] [github] [twitter]

MSc. Lisette Espin-Noboa [website] [github] [twitter]

Venue and Dates

Dates: Sep. 21 - Sep. 25, 2020

Venue: Virtual (ZOOM)

Materials: ILIAS and GitHub


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Binder


Exercises (one-by-one)

You can opt for working on individual exercises only.
However, all your modifications will be lost after a few minutes of inactivity (or if you close the notebook).

Preparation (warm-up)

# Notebook Launch
0 Introduction to Python and Jupyter notebooks Binder
1 Variables, Strings, Numbers and Operators Binder
2 Lists and Tuples Binder
3 Dictionaries Binder
4 If statement Binder
5 Functions Binder
6 More functions Binder

Day 1:

# Notebook Instructor Demo Exercise Solution
1 Essential Python functionality & data structures Olga Binder Binder Binder
2 From data to networks and back Lisette Binder Binder Binder

Day 2:

# Notebook Instructor Demo Exercise Solution
1 Network construction & Visualization Haiko Binder Binder Binder
2 Node centrality Olga Binder Binder Binder

Day 3:

# Notebook Instructor Demo Exercise Solution
1 Brokerage and Closure Haiko Binder Binder Binder
2 Cohesion Haiko Binder Binder Binder

Day 4:

# Notebook Instructor Demo Exercise Solution
1 Community detection Haiko - Binder Binder
2 Hypothesis testing on networks Lisette Binder Binder Binder

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Introduction to Social Network Science in Python

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